Manager, Global Promotion Analytics
Listed on 2026-06-18
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IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager
Location: New York
No Relocation Assistance Offered
Job Number #173218 – New York, New York, United States
Who We AreColgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values—Caring, Inclusive, and Courageous—we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
Role SummaryThe Manager of Global Promo Analytics is a pivotal, high-impact position situated strategically at the nexus of Advanced Analytics, Customer Development, and Commercial Strategy. This leader will be tasked with the management, further and continuous development, delivery, and end‑to‑end implementation of the analytical frameworks essential for tracking and optimizing consumer gross‑to‑net trade spend across the organization.
Acting as a crucial strategic bridge, this leader will connect technical analytical development with practical business implementation. A core responsibility is the large‑scale deployment and embedding of Colgate-Palmolive’s advanced suite of Promotional Analytics capabilities directly within the commercial business functions. This suite includes:
- Predictive – strategy:
Utilizing advanced modeling to determine the impact of strategic pricing decisions SPIs and SPDs that drive growth to the organization. - Predictive – tactical:
Leveraging machine learning models to accurately measure and forecast the volume and value uplift from planned promotional events. - Prescriptive – tactical:
Implementing a fully prescriptive analytical capability that not only predicts outcomes but also recommends the best promotional mechanics to optimize against revenue, margin, or volume.
The ultimate objective of this role is to enable CD teams to execute more effective promotional strategies, enhance profitability, and sustain competitive advantage in the marketplace. This requires a strong blend of analytical depth, commercial acumen, and cross‑functional leadership skills.
Responsibilities- Promo Analytics Strategy Implementation:
Lead the global agenda for Promo Advanced Analytics by ensuring the consistent implementation of the promo analytics framework across Divisions and business functions. - Develop and Deploy Promotional Best Practices, and Meta Learnings from Analytics:
Evaluate trade spend performance across retailers globally to develop and implement global learnings and guidelines partnering with the Global and Division Analytics and CD teams. - Cross-Functional Product Coordination:
Work in close partnership with the Sr. Manager of Global Customer Development (CD) Data & Analytics to coordinate the expansion and implementation of Promo Analytics from both a product and business perspective. - Technical Innovation & Tool Maintenance:
Partner with the Director of Machine Learning to lead the development and maintenance of internal promo analytics tools, focusing on the evolution of CP’s Promo Analytics solutions and capabilities. - Cross-Commercial Integration:
Partner with the Global Cross-Commercial Analytics team to ensure that promotional insights are integrated into broader cross-commercial analytical solutions developed for the divisions. - Divisional Consultation & Requirements:
Serve as a strategic consultant for Division Analytics teams. Translate business requirements into technical specifications for the ML team to ensure tools are fit-for-purpose across diverse global markets. - Implementation & Knowledge Management:
Drive the global implementation of Promo Analytics. Partner with the Global Analytics Manager to develop training materials, socialization programs, and best practices that embed these capabilities into the organizational culture.
- Education:
Bachelor’s degree in a quantitative field such as Data Science, Statistics, Economics, Business Analytics, or a related…
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